{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras.layers import Dense, Flatten, Conv2D, Dropout, MaxPooling2D\n",
    "from tensorflow.keras import Model,Sequential\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 直接读取之前存储的二进制文件\n",
    "train_x = np.load(\"train_x.npy\")\n",
    "train_y = np.load(\"train_y.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(20, 224, 224, 3)\n",
      "(20,)\n"
     ]
    }
   ],
   "source": [
    "plt.imshow(train_x[0])\n",
    "plt.show()\n",
    "print(train_x.shape)\n",
    "print(train_y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(32, 3, activation='relu', input_shape=(224, 224, 3)))\n",
    "model.add(MaxPooling2D((2, 2)))\n",
    "model.add(Conv2D(64, 3, activation='relu'))\n",
    "model.add(MaxPooling2D((2, 2)))\n",
    "model.add(Conv2D(64, 3, activation='relu'))\n",
    "model.add(MaxPooling2D((2, 2)))\n",
    "model.add(Conv2D(128, 3, activation='relu'))\n",
    "model.add(MaxPooling2D((2, 2)))\n",
    "model.add(Conv2D(128, 3, activation='relu'))\n",
    "model.add(MaxPooling2D((2, 2)))\n",
    "model.add(Flatten())\n",
    "model.add(Dropout(0.2))\n",
    "model.add(Dense(1024,activation='relu'))\n",
    "model.add(Dense(1024,activation='relu'))\n",
    "model.add(Dense(2,activation='softmax'))\n",
    "\n",
    "# 模型编译\n",
    "model.compile(optimizer='adam',\n",
    "              loss='sparse_categorical_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 20 samples\n",
      "Epoch 1/50\n",
      "20/20 [==============================] - 2s 90ms/sample - loss: 0.6945 - accuracy: 0.4500\n",
      "Epoch 2/50\n",
      "20/20 [==============================] - 1s 56ms/sample - loss: 0.6804 - accuracy: 0.7500\n",
      "Epoch 3/50\n",
      "20/20 [==============================] - 1s 68ms/sample - loss: 0.7441 - accuracy: 0.5000\n",
      "Epoch 4/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 1.3091 - accuracy: 0.5000\n",
      "Epoch 5/50\n",
      "20/20 [==============================] - 1s 65ms/sample - loss: 0.7271 - accuracy: 0.5000\n",
      "Epoch 6/50\n",
      "20/20 [==============================] - 1s 63ms/sample - loss: 0.6758 - accuracy: 0.6000\n",
      "Epoch 7/50\n",
      "20/20 [==============================] - 1s 56ms/sample - loss: 0.6826 - accuracy: 0.5000\n",
      "Epoch 8/50\n",
      "20/20 [==============================] - 1s 63ms/sample - loss: 0.6832 - accuracy: 0.5000\n",
      "Epoch 9/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.6778 - accuracy: 0.5000\n",
      "Epoch 10/50\n",
      "20/20 [==============================] - 1s 56ms/sample - loss: 0.6745 - accuracy: 0.5500\n",
      "Epoch 11/50\n",
      "20/20 [==============================] - 1s 59ms/sample - loss: 0.6634 - accuracy: 0.6500\n",
      "Epoch 12/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.6449 - accuracy: 0.7000\n",
      "Epoch 13/50\n",
      "20/20 [==============================] - 1s 61ms/sample - loss: 0.6121 - accuracy: 0.7500\n",
      "Epoch 14/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.5596 - accuracy: 0.8500\n",
      "Epoch 15/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.4714 - accuracy: 0.9000\n",
      "Epoch 16/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.3599 - accuracy: 0.9500\n",
      "Epoch 17/50\n",
      "20/20 [==============================] - 1s 52ms/sample - loss: 0.8151 - accuracy: 0.5500\n",
      "Epoch 18/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.9807 - accuracy: 0.5500\n",
      "Epoch 19/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.4397 - accuracy: 0.7500\n",
      "Epoch 20/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.3783 - accuracy: 0.8500\n",
      "Epoch 21/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.4393 - accuracy: 0.8500\n",
      "Epoch 22/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.4545 - accuracy: 0.8500\n",
      "Epoch 23/50\n",
      "20/20 [==============================] - 1s 52ms/sample - loss: 0.4264 - accuracy: 0.8500\n",
      "Epoch 24/50\n",
      "20/20 [==============================] - 1s 53ms/sample - loss: 0.3939 - accuracy: 0.9000\n",
      "Epoch 25/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.3659 - accuracy: 0.9000\n",
      "Epoch 26/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.3145 - accuracy: 0.9000\n",
      "Epoch 27/50\n",
      "20/20 [==============================] - 1s 55ms/sample - loss: 0.2382 - accuracy: 0.9000\n",
      "Epoch 28/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.1795 - accuracy: 0.9500\n",
      "Epoch 29/50\n",
      "20/20 [==============================] - 1s 54ms/sample - loss: 0.1498 - accuracy: 0.9500\n",
      "Epoch 30/50\n",
      "20/20 [==============================] - 1s 52ms/sample - loss: 0.2110 - accuracy: 0.9000\n",
      "Epoch 31/50\n",
      "20/20 [==============================] - 1s 66ms/sample - loss: 0.1213 - accuracy: 0.9500\n",
      "Epoch 32/50\n",
      "20/20 [==============================] - 1s 64ms/sample - loss: 0.1364 - accuracy: 0.9000\n",
      "Epoch 33/50\n",
      "20/20 [==============================] - 1s 70ms/sample - loss: 0.0619 - accuracy: 1.0000\n",
      "Epoch 34/50\n",
      "20/20 [==============================] - 1s 70ms/sample - loss: 0.0721 - accuracy: 0.9500\n",
      "Epoch 35/50\n",
      "20/20 [==============================] - 1s 61ms/sample - loss: 0.0434 - accuracy: 1.0000\n",
      "Epoch 36/50\n",
      "20/20 [==============================] - 1s 60ms/sample - loss: 0.0444 - accuracy: 1.0000\n",
      "Epoch 37/50\n",
      "20/20 [==============================] - 1s 60ms/sample - loss: 0.0166 - accuracy: 1.0000\n",
      "Epoch 38/50\n",
      "20/20 [==============================] - 1s 60ms/sample - loss: 0.0502 - accuracy: 1.0000\n",
      "Epoch 39/50\n",
      "20/20 [==============================] - 1s 59ms/sample - loss: 0.0032 - accuracy: 1.0000\n",
      "Epoch 40/50\n",
      "20/20 [==============================] - 1s 57ms/sample - loss: 0.1070 - accuracy: 0.9500\n",
      "Epoch 41/50\n",
      "20/20 [==============================] - 1s 57ms/sample - loss: 0.0014 - accuracy: 1.0000\n",
      "Epoch 42/50\n",
      "20/20 [==============================] - 1s 63ms/sample - loss: 0.0292 - accuracy: 1.0000\n",
      "Epoch 43/50\n",
      "20/20 [==============================] - 1s 62ms/sample - loss: 0.0095 - accuracy: 1.0000\n",
      "Epoch 44/50\n",
      "20/20 [==============================] - 1s 59ms/sample - loss: 0.0101 - accuracy: 1.0000\n",
      "Epoch 45/50\n",
      "20/20 [==============================] - 1s 62ms/sample - loss: 0.0215 - accuracy: 1.0000\n",
      "Epoch 46/50\n",
      "20/20 [==============================] - 1s 64ms/sample - loss: 0.0022 - accuracy: 1.0000\n",
      "Epoch 47/50\n",
      "20/20 [==============================] - 1s 58ms/sample - loss: 0.0011 - accuracy: 1.0000\n",
      "Epoch 48/50\n",
      "20/20 [==============================] - 1s 66ms/sample - loss: 0.0141 - accuracy: 1.0000\n",
      "Epoch 49/50\n",
      "20/20 [==============================] - 1s 69ms/sample - loss: 0.0647 - accuracy: 0.9500\n",
      "Epoch 50/50\n",
      "20/20 [==============================] - 1s 64ms/sample - loss: 7.3661e-04 - accuracy: 1.0000\n"
     ]
    }
   ],
   "source": [
    "history=model.fit(train_x, train_y, epochs=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l = np.array(history.history['loss'])\n",
    "a = np.array(history.history['accuracy'])\n",
    "step = np.linspace(1,50,50)\n",
    "plt.plot(step,l,label=\"Train Loss\")\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('epoch-loss')\n",
    "plt.xlim((0, 50))\n",
    "plt.gca().set_ylim(bottom=0)\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('loss')\n",
    "plt.show()\n",
    "\n",
    "plt.plot(step,a,label=\"Train Acc\")\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('epoch-acc')\n",
    "plt.xlim((0, 50))\n",
    "plt.gca().set_ylim(bottom=0)\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('acc')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('./model/j.h5')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
